Title :
The Method of Regression Analysis Approach to the Specific Emitter Identification
Author :
Wnuk, Marian ; Kawalec, Adam ; Dudczyk, Janusz ; Owczarek, Robert
Author_Institution :
Mil. Univ. of Technol., Warsaw
Abstract :
Automatic emitter recognition is one of the most difficult tasks in the radar signal analysis. In most cases, the modern ESM/ELINT systems cannot recognize the different devices of the same type or class. New method of the radar identification with a very high precision recognizing is the Specific Emitter Identification (SEI). The main task is to find non-intentional modulations in the receiving signals. This paper provides an overview of the new methods of identification emitter sources based on regression analysis. This paper presents some aspects of mathematical analysis, radar signal features extraction, selection and classification.
Keywords :
feature extraction; mathematical analysis; object recognition; radar detection; radar signal processing; regression analysis; signal classification; automatic emitter recognition; feature extraction; feature selection; mathematical analysis; nonintentional modulation; radar signal analysis; regression analysis; signal classification; specific emitter identification; Data mining; Feature extraction; Pulse measurements; Radar applications; Radio frequency; Regression analysis; Signal analysis; Signal processing; Space vector pulse width modulation; Spaceborne radar;
Conference_Titel :
Microwaves, Radar & Wireless Communications, 2006. MIKON 2006. International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-83-906662-7-3
DOI :
10.1109/MIKON.2006.4345226